IIIT Delhi
The on-going COVID-19 pandemic has exposed vulnerabilities in the health systems all across the globe. On the other hand, the threat has also provided an extra-ordinary opportunity for a collective multi-sectoral response achieved with systems thinking and coordinated local execution. Most importantly, it has demonstrated the need for an effective digital backdrop that connects stakeholder organizations and ensures a rapid response towards mitigation of epidemics in a concerted manner. This has motivated the formation of the Precision Health, Artificial Intelligence for Healthcare theme of DRIIV.
Highlight: The team has developed #Strainflow Dashboard that analyses changes in the genomic sequencing of the COVID virus and gives an early warning up to two months in advance about the next spike in infection rates. This allows policyholders, across countries, adequate lead time for appropriate interventions. (This system is applicable for any infectious disease that has a potential to cause a pandemic).
IIIT Delhi
AIIMS
CSIR
IGIB
IIT-D
JNU
Ashoka University
Google Research India
The following broad activities aligned to "One Health Mission" priority areas are being carried out:
A comprehensive COVID AI stack comprising of 3 dashboards; Strainflow (Model for Genomic Surveillance and Surge Prediction), Evidenceflow (publicly available web-application for emerging trend prediction, based on data mining with AI), VacSim (model for Vaccine resource allocation across India).
COVID-19 data analytics dashboards,
https://federatedhealthplatform.tavlab.iiitd.edu.in/modelzoo
In the process of developing a Scalable, NDHM compliant, and AI-enabled Antimicrobial Resistance Tracker: An AI enabled data port, analytics platform and federated AI platform for predictive modeling in (re) emerging epidemics Data visualizations and temporal tracking of AMR will be carried out upon specific datasets.
A preparedness suite for future pandemic outbreaks collating data and information from a variety of sources; integrates signals from conventional sources such as testing, strains, and vaccination and non-conventional sources such as social media.
AI-powered healthcare stack,
https://federatedhealthplatform.tavlab.iiitd.edu.in/communitydata
The project aims to gather insights by analysing strains in light of the mobility data (obtained through Facebook), health and socio-economic data from National Family and Health Survey is also being analysed to determine temporal relationships of the pandemic period.
An Open Big-Data and Reproducible AI Resource for Early Prediction of Intensive Care Outcomes; the project is running at AIIMS, Delhi, the sandbox is trained on data from AIIMS and publically available ICU data from more than 200 ICUs of USA.
An AI based model for effective screening of vulnerable populations for infectious diseases by social organisations. The platform aims to screen the migrant workers in Mohammadpur, Delhi for tuberculosis and childhood pneumonia.
Decision support system for Mohalla Clinics in Delhi, this AI enabled decision support model is being developed for primary health care, which can be replicated across all the primary health centres of the country.
[The Delhi Corona App of the Govt. of NCT of Delhi which provided citizens with comprehensive resources to combat COVID 19 had components from the WashKaro App developed by the Delhi Cluster AI/ML team for spreading awareness among the masses regarding Water and Sanitation using AI and NLP techniques. Paper presented at WHO regarding the same https://gargicollege.in/wp-content/uploads/2020/05/Webinar-Dept-of-microbiology...pdf]
Commitment to environment protection is something that should come from within... DRIIV has consciously chosen to work on National Missions, aligned with UNSDGs, for environmental and societal relevance. National Green Hydrogen Mission and Solid Waste Management are two such examples where DRIIV will be playing a crucial role in steering the right policy interventions... Our overarching aim is to create a thriving ecosystem, where industry-academia-government bodies work seamlessly and contribute to India's journey towards 'Atmanirbhar Bharat'... read more
There are many pressing concerns like air pollution, waste management, water security, etc., the solutions for which are beyond the scope of science and technology interventions alone and require larger socio-economic models. Community engagement and awareness drives bring the solutions closer to implementation and all the stakeholders together. What we as a nation need is substantial groundwork- propelling innovations from the paper to the people. Our collaborative efforts are what will get us to an Atmanirbhar Bharat... read more
As a 'Knowledge Partner', experts from IIT Delhi would share crucial information on topics such as 5G technology pollution, and climate change with MPs... the institute is associated with DRIIV…to fight air pollution in Delhi NCR... read more
The pilot project involving Delhi Research Implementation Innovation, a Government of India initiative, along with IIT Delhi, was conducted under project National Highway for Electric Vehicle (NHEV)... read more
GMDA and DRIIV, an initiative of the Office of the Principal Scientific Adviser to the GoI, have signed an umbrella MoU to jointly implement various Sustainability and Smart Cities initiatives... read more
DRIIV, an initiative of the Office of the Principal Scientific Adviser to the GoI, has signed an umbrella MoU with the GMDA to implement various Sustainability and Smart Cities initiatives on the ground jointly... read more
The S & T Cluster, a consortium of startups, academic institutions and corporates under DRIIV has tied up with GMDA to locate pollution hotspots and deploy tech-based solutions to monitor and mitigate air pollution... read more
Shipra Misra, CEO & MD of DRIIV, the umbrella body for the Delhi NCR S&T cluster talks about the progress the foundation is making with….the move to introduce solar-powered interoperable EV charging stations & the use of AI in healthcare... read more
